/answers/how-to-find-fabric-defects-with-computer-vision/index.md · 42 lines
---
title: "How to find fabric defects with computer vision"
description: "A line-scan or area camera over the inspection table or finishing line can image fabric as it runs. A computer vision model trained on your own fabric types can flag holes, stains, slubs, missed or broken yarns, uneven dyeing and print misalignment, and record the position on the roll so cutters can work around it. It gives inspectors a marked map of each roll instead of relying only on watching the fabric pass. Inspectors confirm each flag, grade the roll to your own standard and decide whether it ships, gets reworked or is set aside."
url: https://lidvizion.ai/answers/how-to-find-fabric-defects-with-computer-vision/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---
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# How can computer vision help a textile mill or garment maker find fabric defects?
A line-scan or area camera over the inspection table or finishing line can image fabric as it runs. A computer vision model trained on your own fabric types can flag holes, stains, slubs, missed or broken yarns, uneven dyeing and print misalignment, and record the position on the roll so cutters can work around it. It gives inspectors a marked map of each roll instead of relying only on watching the fabric pass. Inspectors confirm each flag, grade the roll to your own standard and decide whether it ships, gets reworked or is set aside.
## What this means in practice
- Set up even lighting and a camera across the full fabric width on the inspection line.
- Label examples of each defect type your inspectors grade, for every fabric family.
- Train or tune a model and record each flag with its position on the roll.
- Inspectors confirm flags, grade the roll and decide whether it ships or is reworked.
- Share defect maps with cutting so pieces can be planned around problem areas.
## How Lid Vizion approaches it
We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.
## More on Automation & custom AI
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- [How can computer vision help a solar installer or site owner find damaged or dirty panels?](https://lidvizion.ai/answers/how-to-inspect-solar-panels-with-computer-vision/)
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